Mateus Espadoto

According to our database, Mateus Espadoto authored at least 24 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Stability Analysis of Supervised Decision Boundary Maps.

Artur A. M. Oliveira, Mateus Espadoto, Roberto Hirata Jr., Alexandru C. Telea

SN Comput. Sci., May, 2023

Visualizing High-Dimensional Functions with Dense Maps.

Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea

SN Comput. Sci., May, 2023

Stabilizing and Simplifying Sharpened Dimensionality Reduction Using Deep Learning.

Mateus Espadoto, Youngjoo Kim, Scott C. Trager, Jos B. T. M. Roerdink, Alexandru C. Telea

SN Comput. Sci., May, 2023

UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data.

Mateus Espadoto, Gabriel Appleby, Ashley Suh, Dylan Cashman, Mingwei Li, Carlos Scheidegger, Erik W. Anderson, Remco Chang, Alexandru C. Telea

IEEE Trans. Vis. Comput. Graph., 2023

Modeling and Interpreting 6-D Object Pose Estimation.

Diego Soler, Roberto Hirata, Mateus Espadoto

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Relict landslide detection in rainforest areas using a combination of k-means clustering algorithm and Deep-Learning semantic segmentation models.

Guilherme Pereira Bento Garcia, Carlos Henrique Grohmann, Lucas Pedrosa Soares, Mateus Espadoto

CoRR, 2022

HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters.

Gabriel Appleby, Mateus Espadoto, Rui Chen, Samuel Goree, Alexandru C. Telea, Erik W. Anderson, Remco Chang

Comput. Graph. Forum, 2022

SDBM: Supervised Decision Boundary Maps for Machine Learning Classifiers.

Artur A. M. Oliveira, Mateus Espadoto, Roberto Hirata Jr., Alexandru C. Telea

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

SDR-NNP: Sharpened Dimensionality Reduction with Neural Networks.

Youngjoo Kim, Mateus Espadoto, Scott C. Trager, Jos B. T. M. Roerdink, Alexandru C. Telea

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

Toward a Quantitative Survey of Dimension Reduction Techniques.

Mateus Espadoto, Rafael Messias Martins, Andreas Kerren, Nina S. T. Hirata, Alexandru C. Telea

IEEE Trans. Vis. Comput. Graph., 2021

Quantitative and Qualitative Comparison of 2D and 3D Projection Techniques for High-Dimensional Data.

Zonglin Tian, Xiaorui Zhai, Gijs van Steenpaal, Lingyun Yu, Evanthia Dimara, Mateus Espadoto, Alexandru C. Telea

Inf., 2021

Using multiple attribute-based explanations of multidimensional projections to explore high-dimensional data.

Zonglin Tian, Xiaorui Zhai, Daan van Driel, Gijs van Steenpaal, Mateus Espadoto, Alexandru C. Telea

Comput. Graph., 2021

OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems.

Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling.

Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-Labeling Strategies.

Artur André Almeida de Macedo Oliveira, Mateus Espadoto, Roberto Hirata, Nina S. T. Hirata, Alexandru C. Telea

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021

2020

Deep learning multidimensional projections.

Mateus Espadoto, Nina Sumiko Tomita Hirata, Alexandru C. Telea

Inf. Vis., 2020

Selecting and Sharing Multidimensional Projection Algorithms: A Practical View.

Mateus Espadoto, Eduardo Faccin Vernier, Alexandru C. Telea

Proceedings of the 1st Workshop on the Gap between Visualization Research and Visualization Software, 2020

Deep Learning for Astronomical Object Classification: A Case Study.

Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Self-supervised Learning for Astronomical Image Classification.

Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Deep Learning Projections by Neighborhood Analysis.

Terri S. Modrakowski, Mateus Espadoto, Alexandre X. Falcão, Nina S. T. Hirata, Alexandru C. Telea

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020

Improving Neural Network-based Multidimensional Projections.

Mateus Espadoto, Nina S. T. Hirata, Alexandre X. Falcão, Alexandru C. Telea

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019

Constructing and Visualizing High-Quality Classifier Decision Boundary Maps.

Francisco Caio M. Rodrigues, Mateus Espadoto, Roberto Hirata, Alexandru C. Telea

Inf., 2019

Deep Learning Inverse Multidimensional Projections.

Mateus Espadoto, Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Roberto Hirata Jr., Alexandru C. Telea

Proceedings of the 10th International EuroVis Workshop on Visual Analytics, 2019

Visual Analytics of Multidimensional Projections for Constructing Classifier Decision Boundary Maps.

Mateus Espadoto, Francisco Caio M. Rodrigues, Alexandru C. Telea

Proceedings of the 14th International Joint Conference on Computer Vision, 2019